performance
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:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Greetings, is there a correct command for a pseudo R2 for a mixed effects ZINB? I see one command in performance for zero-inflated models and one for mixed effects (Nakagawa)...
For within/mixed designs, similiar to `check_normality()`. - [ ] for `check_normality()`: - Detect the random deviations - extract them (per-term) - run test - [ ] add plotting option in...
For example, when trying to run the Hosmer-Lemeshow goodness-of-fit test for the following multiple logistic regression analysis, the following error message is displayed. ``` r data("Titanic") df
In some cases, R2 (cond.) and/or R2 (marg.) are missing from my results. Any idea why? I apologize that I can't supply a reprex for this. I can only see...
Thanks for your great package. However, I'm having a tough time understanding why the marginal and conditional $R^2$ computed from this package are not the same as those from the...
ref: https://github.com/easystats/performance/actions/runs/3900993929/jobs/6662305348 Location: ```r Error in `ggplot2::stat_smooth()` at see/R/plot.binned_residuals.R:48:4: ``` Details: ```r ! Problem while computing stat. ℹ Error occurred in the 2nd layer. Caused by error: ! (converted from...
According to the brms author, performance should change its label: https://twitter.com/paulbuerkner/status/1608896620699226113?s=46&t=3uzWoIWG2nAVyzeyGrxTEg
``` r library(nlme) fm2 Could not compute standard errors from random effects for diagnostic #> plot. #> Homogeneity of variance could not be computed. Cannot extract residual #> variance from...